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Open Access Research

Joint iterative beamforming and power adaptation for MIMO ad hoc networks

Engin Zeydan1*, Didem Kivanc2, Ufuk Tureli2 and Cristina Comaniciu1

Author Affiliations

1 Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ 07030, USA

2 Department of Electrical and Computer Engineering, West Virginia University Institute of Technology, Montgomery, WV, USA

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EURASIP Journal on Wireless Communications and Networking 2011, 2011:79  doi:10.1186/1687-1499-2011-79

Published: 26 August 2011


In this paper, we present distributed cooperative and regret-matching-based learning schemes for joint transmit power and beamforming selection for multiple antenna wireless ad hoc networks operating in a multi-user interference environment. Under the total network power minimization criterion, a joint iterative approach is proposed to reduce the mutual interference at each node while ensuring a constant received signal-to-interference and noise ratio at each receiver. In cooperative and regret-matching-based power minimization algorithms, transmit beamformers are selected from a predefined codebook to minimize the total power. By selecting transmit beamformers judiciously and performing power adaptation, the cooperative algorithm is shown to converge to a pure strategy Nash equilibrium with high probability in the interference impaired network. The proposed cooperative and regret-matching-based distributed algorithms are also compared with centralized solutions through simulation results.

MIMO; ad hoc networks; game theory; beamforming